Evidence map›Paper›PMID 38010081›Full record

ArticleInternational journal of methods in psychiatric research2023

The three-dimensional community structure of attention-deficit hyperactivity disorder (ADHD) traits captured by the Adult ADHD Self-Report Scale: An exploratory graph analysis.

Maria Panagiotidi, Orestis Zavlis, Myles Jones, Tom Stafford

Abstract read
In one paragraph

Article in International journal of methods in psychiatric research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Maria PanagiotidiDepartment of Psychology, University of Sheffield, Sheffield, UK.
Orestis ZavlisDepartment of Psychology, University of Sheffield, Sheffield, UK.
Myles JonesDepartment of Psychology, University of Sheffield, Sheffield, UK.
Tom StaffordDepartment of Psychology, University of Sheffield, Sheffield, UK.ORCID https://orcid.org/0000-0002-8089-9479

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo employ a novel analytic method-namely, exploratory graph analysis (EGA)-to subclinical attention-deficit hyperactivity disorder (ADHD) trait scores in order to reveal their dimensional structure, as well as compare EGA's performance with traditional factor-analytic techniques in doing so.

method1149 respondents from a survey panel completed the ASRS, a common ADHD scale made up of 18 distinct trait measures. EGA and factor analysis were applied to identify traits which associate with each other.

resultsEGA revealed 3 distinct communities, and ruled out a 2-community structure. This was in contrast to the 2-factor structure suggested by the factor analysis, and the conventional division of ADHD into two subdimensions (hyperactivity and inattention).

conclusionA dimensional structure of three clusters (hyperactivity, impulsivity and inattention) may better reflect the traits underlying ADHD. EGA has benefits in terms of both analytic approach and interpretability of findings.

Indexed as

ADHDattention deficit hyperactivity disorderEGAexploratory graph analysisfactor analysisnetwork analysistraits

Identifiers

PMID38010081
PMCPMC10804265

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.